2 дня назад
Senior Fullstack Engineer, Internal Tools (React/Node.js)
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Senior Fullstack Engineer, Internal Tools (React/Node.js): Building and scaling internal tools and admin features end-to-end with an accent on front-end architecture, reusable components, and data-driven recommendation, ranking, and search capabilities. Focus on defining system designs, reducing technical debt, securing admin interfaces, and balancing hands-on coding with technical leadership.
Location: Remote
Company
builds internal tools and admin platforms that support its internal teams.
What you will do
- Own the technical direction, front-end architecture, and component and design system strategy for Internal Tools.
- Translate product requirements into technical designs, specifications, system designs, and engineering tickets.
- Design and build internal tools and admin features across the front end and back end.
- Apply recommendation, ranking, and search techniques in partnership with data science and product.
- Reduce technical debt through targeted refactoring, design reviews, and engineering standards.
- Support engineers through pairing, code review, mentoring, documentation, and deep debugging.
Requirements
- 5+ years of software development experience and a track record of shipping scalable systems.
- Strong system design and architecture skills.
- Extensive production experience with JavaScript, TypeScript, Node, and React.
- Hands-on experience with PostgreSQL, MongoDB, or Elasticsearch, including performance tuning.
- Experience building and scaling backend systems, ideally in a startup or small-company environment.
- Experience mentoring engineers.
Nice to have
- Production experience with Next.
- Experience with recommendation, ranking, or search systems.
- Experience building internal tools or operations platforms.
- Familiarity with cloud infrastructure, Docker, Kubernetes, and CI/CD.
- Experience with prompt engineering, fine-tuning, or deploying machine learning in production.
Culture & Benefits
- Remote work environment.
- Approximately 80% hands-on coding and 20% technical leadership.
- Collaboration with engineering management, product, data science, and security.
- Use of AI tools may support parts of the hiring process, while final decisions remain with humans.
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